Essays about: "Computer-aided diagnosis"

Showing result 1 - 5 of 30 essays containing the words Computer-aided diagnosis.

1. 1. Automated Interpretation of Lung Ultrasound for COVID-19 and Tuberculosis diagnosis

   University essay from Lunds universitet/Matematik LTH

   Author : Chloé Soormally; [2023]
   Keywords : Tuberculosis; COVID-19; Lung Ultrasound; Computer-aided detection CAD ; Deep learning; Technology and Engineering;

   Abstract : BACKGROUND. Early and accurate detection of infectious respiratory diseases like COVID-19 and tuberculosis (TB) plays a crucial role in effective management and the reduction of preventable mortality. READ MORE

3. 2. Exploring Feature Selection Techniques for Machine Learning-based Melanoma Skin Cancer Classification

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Thomas Eriksson Mueller; Viktor Fornstad; [2023]
   Keywords : Machine Learning; Feature Selection; Melanoma; Computer Aided Diagnosis; Bachelor Thesis; Maskininlärning; Attributurval; Melanom; Datorstödd Diagnostik; Kandidatarbete;

   Abstract : One of the most globally common types of cancer is skin cancer, where melanoma is the most deadly form. An important and promising tool for diagnosing diseases such as skin cancer is computer aided diagnostics, a tool which utilizes machine learning to predict and classify cancer. READ MORE

4. 3. Determining Important Features for Melanoma Classification Through Feature Selection

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Vilmer Jonsson; Tor Strimbold; [2023]
   Keywords : ;

   Abstract : Skin cancer is a common disease and malignant melanoma is the most dangerous form of it. Although dangerous, the survival rate of melanoma patients is high if the diagnosis is made at an early stage. Computer aided diagnostics has been shown to have potential in accurately diagnosing the disease utilizing machine learning. READ MORE

5. 4. Design, implementation and evaluation of a deep learning prototype to classify non-pigmented malignant skin cancer from dermatoscopic images

   University essay from Lunds universitet/Matematik LTH

   Author : Maria del Pilar Aguilera Manzanera; [2022]
   Keywords : Melanoma; Skin cancer; Dermatoscopy; Image classification; Machine learning; Artificial intelligence; Convolutional neural networks; Dermatology; Squamous cell carcinoma; Basal cell carcinoma; Actinic keratosis; Computer-aided Diagnostics; Digital dermatology; Technology and Engineering;

   Abstract : The current trends for most fair-skinned populations are that the incidence of melanoma and non-pigmented skin lesions is growing, and this growing trend will continue for the upcoming years. The emergence of deep learning networks and their promising results in solving real-world healthcare problems and improving diagnostic accuracy opens new possibilities. READ MORE

6. 5. GAN-based Automatic Segmentation of Thoracic Aorta from Non-contrast-Enhanced CT Images

   University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

   Author : Libo Xu; [2021]
   Keywords : Non-contrast-enhanced; Medical Image Segmentation; Image-to-image Translation; U-Net; Generative Adversarial Network; End-to-end; Two-stage;

   Abstract : The deep learning-based automatic segmentation methods have developed rapidly in recent years to give a promising performance in the medical image segmentation tasks, which provide clinical medicine with an accurate and fast computer-aided diagnosis method. Generative adversarial networks and their extended frameworks have achieved encouraging results on image-to-image translation problems. READ MORE